• The Science & Technology
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• v.35 no.5 s.396
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• pp.66-69
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• 2002

남고 3년생 흡연율 미국, 일본보다 크게 높아 세포 분열 왕성한 성장기여서 피해 심각

• The Science & Technology
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• v.35 no.5 s.396
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• pp.63-65
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• 2002

• Journal of Digital Convergence
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• v.18 no.9
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• pp.413-421
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• 2020

Because of space constraints of the ship, accessibility to supporting system for nonsmoking is poor in seafarers' group. This study was performed to find the smoking status, second-hand smoking status and factors related to smoking habit of Korean seafarers. So, we examined the rate of smoking and secondhand smoking, and knowledge about smoking, attitude for smoking behavior, smoking cessation intention and working environment related to smoking of 155 seafarers. Their smoking rate was 32.3% and secondhand smoke rate was very high by 86.5%. Their working place equipped a separate smoking room, but most of them had been smoked in where they were stayed. and we found the inadequate ventilation facility in 42.6%. Only 21.9% had a experience of education for smoking cessation. From the study Attitude for smoking behavior was negative and smoking knowledge was high. 90% of them tried to stop to smoke, but intention of smoking cessation was low. We need to motivate seafarers and increase their smoking cessation intention by regular education in available ways. From the study, we purpose that government will realign regulations related to ventilation facility and appointed smoking area on the board to prevent seondhand smoke, and the policy need to possess the regular survey of smoking status and customized smoking cessation education for seafarers.

• 건강소식
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• v.20 no.1 s.206
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• pp.28-29
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• 1996

• Korean Journal of Health Education and Promotion
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• v.25 no.5
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• pp.39-51
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• 2008

The objectives of this study were to analyze the socio-economical factors related to smoking and drinking behaviors using the Korea Welfare Panel data. The key variables were sex, age, frequency of health and medical facilities visit, subjective health level, smoking level, drinking level, depression symptoms, and low income level. Since the health variables in the Welfare Panel data were limited, the analysis was exploratory. In male population of those older than 30 years old, low income group people were more likely to smoke cigarettes than the general income population. In the result of the Chi square analysis, the smoking rate showed significantly different relationships with the different age groups, gender and income level. According to the descriptive analysis, persons with low income level were more likely to experience health risk behaviors and showed more medical service utilization. The utilization of the local public health centers was 4.6% for the Bow income level and 1% for the general level. The higher smoking rate was associated with the younger age, and the lower income. The smoking rate in the age category from 20 to 29 was 23.3% for the general level and 25% for the low income level. On the other hand, the drinking rate was even higher in the general families. The rates of non use of alcohol was 36.7% in the general families and 58.4% for the low income families. For both smoking and high risk drinking issues, demographic and sociological variables such as sex, age, education levels and income levels were analyzed, and there wer significant relationships. Health risk factors were serious for males, with age groups of 20's and 30's, lower education level, and in a low income family. In general, females were more unhealthy. The rates of smoking and drinking were higher in the low income level. Even in the health and nutrition survey results in 2005, persons in the low income class were experiencing poorer health in health level or the degree of action restriction. Since the effects of the health promotion could not be measured in a short period of time, it has not been easy to create the basis for the substantial effects. Factors related to health risks needs to be continuously studied using data from diverse field.

• 건강소식
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• v.25 no.5 s.270
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• pp.6-13
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• 2001

불행하게도 우리나라 청소년의 담배소비량은 세계 1위다. 이들이 작년 한 해 동안 소비한 담배 6,700만 갑으로 이는 전체 담배소비량의 1.4%를 차지한다. 이러한 청소년 흡연율을 가까운 아시아지역 국가들과 비교해도 한국학생이 단연 1위를 차지하고 있다. 여학생의 경우도 심각한 수준에 달해 있다. 같은 흡연자라도 15세 이전에 흡연을 시작한 사람은 25세 이후에 흡연을 시작한 사람보다 폐암에 걸릴 위험이 2.5배나 높다. 그렇다면 현재의 청소년 흡연자들이 폐암에 걸릴 위험성은 적어도 2.5배가 높으며, 폐암 발병 시기 역시 빨라질 것이다. 이로 인한 개인적, 사회적, 국가적 손실이 클 것이라는 것은 쉽게 예측할 수 있다. 청소년 흡연자가 바로 나의 자녀라고 생각하면 청소년 흡연 예방사업을 반대할 사람은 아무도 없을 것이다.

• Journal of agricultural medicine and community health
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• v.27 no.1
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• pp.9-19
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• 2002

This study was conducted to compare the health behaviors of patient s before and after a stroke and propose health education program to reduce risk factors related to stroke recurrence. Data were collected from eighty- eight stroke patients registered at the Gyeongju-si Health Center between July 1, to August 30, 1999, by interviewing patients from a prepared structured questionnaire, which included questions on that patients ' general characteristics, health- related behaviors, family-related characteristics, and pre- and post - stroke health status. Smoking rate of 51.1% before stroke reduced to 25.0% after stroke; drinking rate of 52.3% before stroke reduced to 17.0% after stroke; daily smoking amount of 20.1 packs per day before stroke significantly reduced to 14.9 packs per day after stroke; and daily drinking amount of 92.4ml before stroke significantly reduced to 23.7ml after stroke. Smoking rate according to sex showed a marked decrease in the male subjects, but 31.6% still smoked even after their stroke. Among the female subjects, smoking rate of 16.1% before stroke reduced to 12.9% after stroke. Observation of the change in health- related behaviors of stroke patient s showed significant change in smoking rate, drinking rate and intake of regular meals etc. of patient s with a spouse and patients who received preventive health education. Health education on quitting smoking, temperance, low fat diet, exercise and regular meals for stroke patient s are needed, and public and private organizations can do their part in development and providing continuing health education programs and health education.

• Journal of agricultural medicine and community health
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• v.33 no.1
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• pp.90-100
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• 2008

=Objectives: The aim of this study was to investigate the smoking rate and the related factors to early smoking of high school students.Methods: A questionnaire was administered to 920 students in 3 high schools in Daegu Metropolitan Results: Of total respondents, 1.8% had experience of smoking. Of those, 20.2% citied curiosity, 9.0% cited upon recommendation of friends, and 6.2% cited stress management as the main reason for their smoking. Separately, 53.1% responded habitually and 26.5% responded stress management as the main reason for continuing smoking. Of total former smokers, 68.4% said 'worry about their health' as the main reason for quitting smoking. Of those who failed to quit smoking, 58.7% cited 'weakness of will' as the main reason for their failure. Of total respondents, 10.8% were smoking currently. 'Smoking of family member'(p<0.01) and 'intent to smoke'(p<0.05) were significantly associated to early smoking of the subjects.In multivariate logistic regression analysis, 'higher levels of stress' and 'smoking of family member' were significant related factors to early smoking.Conclusions: Amid growing number of early smokers, it is imminent to identify the actual state of discourage smoking. In addition, education programs need to be developed to assist early smokers in quitting smoking and prevent smoking among youth.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.648-651
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• 2018

흡연여부를 감별하는 지표가 있지만 반감기 등 여러 가지 요인에 따라 결과가 변한다는 단점이 있다. 그렇기 때문에 흡연여부 감별 시 외부요인에 영향을 덜 받는 지표가 필요하게 되었다. 그래서 흡연 여부 감별하는데 적합한 모형을 찾아 외부요인에 영향이 적은 지표를 개발에 도움이 될 것을 기대하며 연구를 진행하였다. 실험은 국민건강보험공단에서 제공한 건강검진정보데이터를 기반으로, SVM, Logistic Regression, KNN 등의 머신러닝 모델을 이용하여 흡연 여부를 감별하는 것을 진행한다. 이 실험은 속성에 따른 모형의 성능변화와 학습데이터 수에 따른 모형의 성능변화에 대한 2가지 측면에서 모델의 성능을 측정하였다. 모델의 평가는 정확도(accuracy), 정밀도(precision), 재현율(recall), 조화 평균(f1-score)으로 진행하였으며, 약 70퍼센트 정도의 정확도와, 60퍼센트 대의 재현율을 보인다. 실험 결과, SVM이 속성에 따른 모형의 성능 변화 실험에서는 63%의 재현율, 학습데이터 수에 따른 성능 변화 실험에서는 68%의 재현율을 보여, 흡연자 판별에 가장 좋은 성능을 보였다. 또한 재현율을 기준으로 실험 차수별로 가장 좋은 성능을 보인 모델과 가장 저조한 성능을 보인 모델의 차이를 비교한 결과, '속성에 따른 모형의 성능 변화 실험'에서는 최고 36%의 차이를 보였으며, '학습데이터 수에 따른 성능 변화 실험'에서 최고 42%의 차이를 보여 주었다. 이에 판별을 위한 속성도 중요하지만, 적합한 모형 선택 또한 중요하다는 것을 확인하였다.

• Research in Community and Public Health Nursing
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• v.7 no.2
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• pp.420-436
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• 1996

The goal of this study is to explore different risk factors for smoking and look at the relationships between knowledge, attitudes, and behavioral intentions regarding smoking among schoolchildren, in order to reduce teenage smoking. To achieve this goal a self-administered questionaire regarding smoking was provided to schoolchildren in the 7th and 8th grades in one junior high school in Jerusalem. The schoolchildren were exposed to 10-12 hours of a smoking prevention intervention program. The questionaire focused primarily on the personal characteristics, social environment, knowledge, attitudes, practices, and behavioral intentions of the children. Crosstabs were performed on each variable to determine if significant associations exist among the different variables. The statistical computer, package, SPSS PC, was used to manipulate the data along with Chi-square test. The findings were as follows : About 11% of the children aged 12-14 have ever smoked or are smoking currently, and about 24.0% of those who ever smoked started smoking at the age of 10. Boys smoke more(p<.01), poorer students(by self-perception of school performance) smoke more, and those who had peers who were smokers were more likely to smoke(p<.05). The percentage of the children who reported that either father or mother smoked was about 30%, but no statistical association was found between parental smoking and children's smoking, although trends were noted in the expected direction, i.e. more smokers among children of smokers. Only 1.1% of the children intended to smoke in the future, and 98.0% of the children indicated that they can or they might be able to withstand social pressure. Seventy percent of the children demonstrated medium to high knowledge about smoking, Males, 8th graders, better students, and those without friends who smoke had higher social pressure showed more negative attitudes(p<.01). Those with non-smoking siblings showed more negative behavioral intentions regarding smoking(p<.01), and better students showed more negative behavioral intentions. Those who had higher knowledge scores showed more negative attitudes towards smoking, but not significantly so. Those who had very negative behavioral intentions showed highly significant negative attitudes towards smoking(p<.01).